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Machine Learning Techniques, End Term

May 2026 term, 13 Sept 2026, Set 1

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Question 1

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Which of the following statements correctly distinguishes the hard-margin SVM from the soft-margin SVM?

Select one option

A.
The hard-margin SVM has a feasible solution only when the training data is linearly separable, whereas the soft-margin SVM always has a feasible solution.
B.
The hard-margin SVM allows some training points to violate the margin, whereas the soft-margin SVM forbids all margin violations.
C.
D.
Unlike the hard-margin SVM, the soft-margin SVM can only be used with non- linear kernels.

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